After a double degree, Engineer degree in Industrial Engineering and master in system optimization and reliability, I am currently doing a PhD in applied mathematics. This PhD is about conception of a service network design for a Third Party Logistic, with a double objective : costs and environmental indicators.
My experience from engineering school spans spans data visualization, machine learning, and mathematical modeling, supported by hands-on projects in Python, Power BI, and more. Passionate about continuous learning, I'm eager to contribute to innovative solutions in academic or industrial fields.
Research internship at INRIA Lille, inside BONUS team, under the guidance of E.G. Talbi.
- use of Partition-based Optimization and Bayesian Optimization
- Python using BoTorch, shell for deployment
- deployment on hardware cluster - Grid 5000
| 💻 Experiments | 📰 Deliverables |
|---|
- SPLIT Heuristic to solve Capacities Vehicules Routing Problem
- ⚙ Python using Pandas, numpy ...
- Mathematic model with. Solver used to make distribution to go student week-end (integration)
- ⚙ Excel with OpenSolver, Visual Basic
💰 Bundle pricing decision for fresh products
- Mathematic model for solvi. g pricing and bundles decision
- ⚙ Lingo, Gusek and Gurobi (gurobipy on python)
- based on this this article
📈 Modelisation of a failures system based on lifetime
- Jupyter notebook with parameters estimation, Montecarlo simulation with reparation, and maintenance policy
- ⚙ Python on Jupyter Notebook, using pandas, numpy, scipy stats ...
🏬 Inventory simulation with 3 parameters stock policy
- Course project with simulation using stochastic command, cost implementation, and LateX report for study of the stock policy
- ⚙ Python with pandas, json, numpy and math ...
📱 Classification of Twitter (X) users
- Building a user database on mongoDB with a tweet database, and apply supervised / unsupervised machine learning algorithms to classify suspicious/non suspicious
- ML Algorithms : Kmeans, Agglomerative Hierarchical Clustering (AHC), PCA, SVM, Neural networks ...
- ⚙ Python using Pandas, numpy, scikit-learn, seaborn...
📐 Polygon Class and function using C++
- Polygon class, with useful fonction to use polygon (convex, simple ... )
- ⚙ C++
Programming Language :
Database & BI :
Python Data Science :
